{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jstroebe\Dropbox\Climate Change Paper\Replication Folder\Price-Rent Ratio\Singapore (Table A6)\Singapore Price Rent (Table A6).smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Jan 2021, 09:10:23
{txt}
{com}. 
. use "D:\Housing Term Structure\Singapore Data\Listings\iPropertySG-listings.dta", clear
{txt}
{com}. 
. gen log_price = log(price)
{txt}(2,798 missing values generated)

{com}. destring(district), replace force
{txt}district: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(35106 missing values generated)
{res}{txt}
{com}. 
. * Controls
. gen quarter_new = qofd(date_new)
{txt}
{com}. gen year        = year(date_new)
{txt}
{com}. gen month       = mofd(date_new)
{txt}
{com}. 
. egen kgroup       = group(kitchen)
{txt}(121621 missing values generated)

{com}. egen tenid        = group(tenureid)
{txt}(65944 missing values generated)

{com}. egen prop_type    = group(protype)
{txt}
{com}. egen prog_type    = group(progrtype)
{txt}(119372 missing values generated)

{com}. egen level_group  = group(level)
{txt}(82502 missing values generated)

{com}. egen storey_group = group(storey)
{txt}(96559 missing values generated)

{com}. 
. egen fe_1 = group(quarter  district)
{txt}(35106 missing values generated)

{com}. egen fe_2 = group(quarter  postalcode)
{txt}(55576 missing values generated)

{com}. egen fe_3 = group(month    postalcode)
{txt}(55576 missing values generated)

{com}. egen fe_4 = group(month    postalcode bedrooms)
{txt}(64507 missing values generated)

{com}. 
. egen    size_group = cut(size), group(50)
{txt}(1 missing value generated)

{com}. egen    age_group  = group(age)
{txt}(102190 missing values generated)

{com}. 
. winsor log_price, gen(lp1) p(0.01)
{txt}
{com}. 
. duplicates tag lp1 prop_type bedrooms bath size_group age_group kgroup tenid storey_group prog_type level_group for_rent year, gen(dup1)

{p 0 4}{txt}Duplicates in terms of {res} lp1 prop_type bedrooms bath size_group age_group kgroup tenid storey_group prog_type level_group for_rent year{p_end}
{txt}
{com}. 
. areg lp1                                                                                                                                                                                                                                  for_rent if year == 2012 & dup1 ==0, absorb(fe_2) cluster(fe_2)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}   106,145
{txt}Absorbed variable: {bf:fe_2}{col 49}No. of categories{col 67}= {res}    19,798
{txt}{col 49}F({res}   1{txt},{res}  19797{txt}){col 67}= {res}   4999.04
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.8404
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8038
{txt}{col 49}Root MSE{col 67}= {res}    0.8360

{txt}{ralign 78:(Std. Err. adjusted for {res:19,798} clusters in fe_2)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         lp1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}for_rent {c |}{col 14}{res}{space 2}-3.095358{col 26}{space 2} .0437792{col 37}{space 1}  -70.70{col 46}{space 3}0.000{col 54}{space 4}-3.181169{col 67}{space 3}-3.009547
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 14.07897{col 26}{space 2} .0215417{col 37}{space 1}  653.57{col 46}{space 3}0.000{col 54}{space 4} 14.03674{col 67}{space 3} 14.12119
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo Col1
{txt}
{com}. areg lp1 i.prop_type i.bedrooms i.bath i.age_group i.size_group i.kgroup i.tenid i.storey_group i.prog_type i.level_group for_rent if year == 2012 & dup1 ==0, absorb(fe_2) cluster(fe_2)
{p 0 6 2}{txt}note: 9.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 113.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 139.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 165.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 198.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 247.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 276.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 1.kgroup omitted because of collinearity{p_end}
{p 0 6 2}note: 40.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 83.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 132.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 214.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 269.storey_group omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}   105,189
{txt}Absorbed variable: {bf:fe_2}{col 49}No. of categories{col 67}= {res}    19,123
{txt}{col 49}{help j_robustsingular##|_new:F( 297,  19122)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8962
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8726
{txt}{col 49}Root MSE{col 67}= {res}    0.6732

{txt}{ralign 78:(Std. Err. adjusted for {res:19,123} clusters in fe_2)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         lp1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}prop_type {c |}
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{txt}{space 12} {c |}
{space 4}bedrooms {c |}
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{txt}{space 12} {c |}
{space 8}bath {c |}
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{txt}{space 12} {c |}
{space 3}age_group {c |}
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{txt}{space 8}208  {c |}{col 14}{res}{space 2} .0460613{col 26}{space 2} .1088109{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.1672177{col 67}{space 3} .2593403
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{txt}{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{txt}{space 8}269  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
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{txt}{space 12} {c |}
{space 3}prog_type {c |}
{space 10}3  {c |}{col 14}{res}{space 2}-.0248522{col 26}{space 2} .0757911{col 37}{space 1}   -0.33{col 46}{space 3}0.743{col 54}{space 4}-.1734095{col 67}{space 3}  .123705
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{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1068137{col 26}{space 2} .0303152{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-.1662342{col 67}{space 3}-.0473931
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1057765{col 26}{space 2} .0273104{col 37}{space 1}   -3.87{col 46}{space 3}0.000{col 54}{space 4}-.1593072{col 67}{space 3}-.0522457
{txt}{space 12} {c |}
{space 1}level_group {c |}
{space 9}94  {c |}{col 14}{res}{space 2} .0313935{col 26}{space 2} .0071985{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} .0172839{col 67}{space 3} .0455031
{txt}{space 9}96  {c |}{col 14}{res}{space 2}-.0000108{col 26}{space 2} .0078238{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-.0153462{col 67}{space 3} .0153247
{txt}{space 9}98  {c |}{col 14}{res}{space 2}-.0032148{col 26}{space 2} .0076602{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-.0182295{col 67}{space 3} .0117999
{txt}{space 12} {c |}
{space 4}for_rent {c |}{col 14}{res}{space 2}-3.130911{col 26}{space 2} .0187356{col 37}{space 1} -167.11{col 46}{space 3}0.000{col 54}{space 4}-3.167635{col 67}{space 3}-3.094188
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 13.05148{col 26}{space 2} .4005137{col 37}{space 1}   32.59{col 46}{space 3}0.000{col 54}{space 4} 12.26643{col 67}{space 3} 13.83652
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo Col2
{txt}
{com}. areg lp1 i.prop_type i.bedrooms i.bath i.age_group i.size_group i.kgroup i.tenid i.storey_group i.prog_type i.level_group for_rent if year == 2012 & dup1 ==0, absorb(fe_3) cluster(fe_3)
{p 0 6 2}{txt}note: 8.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 9.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 113.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 139.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 165.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 198.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 220.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 247.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 276.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 279.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 1.kgroup omitted because of collinearity{p_end}
{p 0 6 2}note: 36.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 40.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 83.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 132.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 214.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 269.storey_group omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}   105,189
{txt}Absorbed variable: {bf:fe_3}{col 49}No. of categories{col 67}= {res}    28,221
{txt}{col 49}{help j_robustsingular##|_new:F( 300,  28220)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9068
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8721
{txt}{col 49}Root MSE{col 67}= {res}    0.6746

{txt}{ralign 78:(Std. Err. adjusted for {res:28,221} clusters in fe_3)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         lp1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}prop_type {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.5352776{col 26}{space 2} .3807366{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4} -1.28154{col 67}{space 3} .2109845
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5447403{col 26}{space 2} .3442849{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-1.219555{col 67}{space 3} .1300746
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4413818{col 26}{space 2} .3336039{col 37}{space 1}   -1.32{col 46}{space 3}0.186{col 54}{space 4}-1.095262{col 67}{space 3} .2124979
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{txt}{space 8}194  {c |}{col 14}{res}{space 2} 1.330476{col 26}{space 2} .0661057{col 37}{space 1}   20.13{col 46}{space 3}0.000{col 54}{space 4} 1.200906{col 67}{space 3} 1.460047
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{txt}{space 8}200  {c |}{col 14}{res}{space 2} .1288467{col 26}{space 2} .0451344{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .0403811{col 67}{space 3} .2173123
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{txt}{space 8}205  {c |}{col 14}{res}{space 2}-.1036755{col 26}{space 2} .0479679{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4}-.1976948{col 67}{space 3}-.0096561
{txt}{space 8}208  {c |}{col 14}{res}{space 2} .0636304{col 26}{space 2} .1278822{col 37}{space 1}    0.50{col 46}{space 3}0.619{col 54}{space 4}-.1870249{col 67}{space 3} .3142856
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{txt}{space 8}213  {c |}{col 14}{res}{space 2}-.5277353{col 26}{space 2} .0762977{col 37}{space 1}   -6.92{col 46}{space 3}0.000{col 54}{space 4}-.6772825{col 67}{space 3}-.3781882
{txt}{space 8}214  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}216  {c |}{col 14}{res}{space 2} .1231248{col 26}{space 2} .2147122{col 37}{space 1}    0.57{col 46}{space 3}0.566{col 54}{space 4}-.2977215{col 67}{space 3} .5439711
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{txt}{space 8}269  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}276  {c |}{col 14}{res}{space 2}-.1677739{col 26}{space 2} .0372566{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4}-.2407987{col 67}{space 3}-.0947491
{txt}{space 12} {c |}
{space 3}prog_type {c |}
{space 10}3  {c |}{col 14}{res}{space 2}-.0238963{col 26}{space 2} .0719728{col 37}{space 1}   -0.33{col 46}{space 3}0.740{col 54}{space 4}-.1649666{col 67}{space 3} .1171739
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{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1189684{col 26}{space 2} .0729377{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.2619297{col 67}{space 3}  .023993
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1089955{col 26}{space 2} .0261047{col 37}{space 1}   -4.18{col 46}{space 3}0.000{col 54}{space 4}-.1601619{col 67}{space 3}-.0578291
{txt}{space 12} {c |}
{space 1}level_group {c |}
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{txt}{space 9}96  {c |}{col 14}{res}{space 2}-.0003074{col 26}{space 2} .0094464{col 37}{space 1}   -0.03{col 46}{space 3}0.974{col 54}{space 4}-.0188227{col 67}{space 3} .0182079
{txt}{space 9}98  {c |}{col 14}{res}{space 2}-.0090653{col 26}{space 2} .0092365{col 37}{space 1}   -0.98{col 46}{space 3}0.326{col 54}{space 4}-.0271692{col 67}{space 3} .0090387
{txt}{space 12} {c |}
{space 4}for_rent {c |}{col 14}{res}{space 2}-3.123481{col 26}{space 2} .0144782{col 37}{space 1} -215.74{col 46}{space 3}0.000{col 54}{space 4}-3.151859{col 67}{space 3}-3.095103
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  13.0735{col 26}{space 2} .4058029{col 37}{space 1}   32.22{col 46}{space 3}0.000{col 54}{space 4}  12.2781{col 67}{space 3} 13.86889
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo Col3
{txt}
{com}. areg lp1 i.prop_type i.bedrooms i.bath i.age_group i.size_group i.kgroup i.tenid i.storey_group i.prog_type i.level_group for_rent if year == 2012 & dup1 ==0, absorb(fe_4) cluster(fe_4)
{p 0 6 2}{txt}note: 1.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 2.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 3.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 4.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 5.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 6.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 7.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 8.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 9.bedrooms omitted because of collinearity{p_end}
{p 0 6 2}note: 7.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 8.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 9.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 99.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 113.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 137.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 139.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 165.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 198.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 220.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 247.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 276.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 279.age_group omitted because of collinearity{p_end}
{p 0 6 2}note: 1.kgroup omitted because of collinearity{p_end}
{p 0 6 2}note: 36.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 40.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 83.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 132.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 214.storey_group omitted because of collinearity{p_end}
{p 0 6 2}note: 269.storey_group omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}   105,189
{txt}Absorbed variable: {bf:fe_4}{col 49}No. of categories{col 67}= {res}    36,945
{txt}{col 49}{help j_robustsingular##|_new:F( 291,  36944)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9174
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8721
{txt}{col 49}Root MSE{col 67}= {res}    0.6746

{txt}{ralign 78:(Std. Err. adjusted for {res:36,945} clusters in fe_4)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}         lp1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}prop_type {c |}
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{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.5332961{col 26}{space 2} .3984847{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-1.314337{col 67}{space 3} .2477451
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.4366181{col 26}{space 2}  .389435{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-1.199922{col 67}{space 3} .3266854
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3551317{col 26}{space 2} .3974091{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4}-1.134065{col 67}{space 3} .4238013
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.5196833{col 26}{space 2}  .419122{col 37}{space 1}   -1.24{col 46}{space 3}0.215{col 54}{space 4}-1.341174{col 67}{space 3} .3018077
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .6797896{col 26}{space 2} .4544579{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.2109607{col 67}{space 3}  1.57054
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .7064974{col 26}{space 2} .3323184{col 37}{space 1}    2.13{col 46}{space 3}0.034{col 54}{space 4}  .055144{col 67}{space 3} 1.357851
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .7952969{col 26}{space 2} .4793848{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.1443108{col 67}{space 3} 1.734905
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .3387512{col 26}{space 2} .3387301{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.3251694{col 67}{space 3} 1.002672
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 1.001818{col 26}{space 2} .4563617{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .1073359{col 67}{space 3} 1.896299
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .4751039{col 26}{space 2} .3500474{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.2109989{col 67}{space 3} 1.161207
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 1.153094{col 26}{space 2} .4609052{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .2497062{col 67}{space 3} 2.056481
{txt}{space 9}17  {c |}{col 14}{res}{space 2}  .417264{col 26}{space 2} .3279887{col 37}{space 1}    1.27{col 46}{space 3}0.203{col 54}{space 4}-.2256031{col 67}{space 3} 1.060131
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.5249079{col 26}{space 2} .4258977{col 37}{space 1}   -1.23{col 46}{space 3}0.218{col 54}{space 4}-1.359679{col 67}{space 3} .3098635
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .5910153{col 26}{space 2} .4255479{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}-.2430706{col 67}{space 3} 1.425101
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.0959744{col 26}{space 2} .4095317{col 37}{space 1}   -0.23{col 46}{space 3}0.815{col 54}{space 4}-.8986681{col 67}{space 3} .7067193
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .2204403{col 26}{space 2} .4075694{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.5784073{col 67}{space 3} 1.019288
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .6932734{col 26}{space 2} .3360737{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .0345594{col 67}{space 3} 1.351987
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  .252687{col 26}{space 2}  .380491{col 37}{space 1}    0.66{col 46}{space 3}0.507{col 54}{space 4}-.4930862{col 67}{space 3} .9984601
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .3126553{col 26}{space 2} .3704618{col 37}{space 1}    0.84{col 46}{space 3}0.399{col 54}{space 4}-.4134602{col 67}{space 3} 1.038771
{txt}{space 9}25  {c |}{col 14}{res}{space 2}-.2379414{col 26}{space 2}  .410489{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-1.042511{col 67}{space 3} .5666285
{txt}{space 9}26  {c |}{col 14}{res}{space 2}-.2778693{col 26}{space 2} .4107595{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-1.082969{col 67}{space 3} .5272308
{txt}{space 9}27  {c |}{col 14}{res}{space 2}-.2173101{col 26}{space 2} .4189915{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-1.038545{col 67}{space 3}  .603925
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .1509193{col 26}{space 2} .4493096{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.7297402{col 67}{space 3} 1.031579
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .9734922{col 26}{space 2} .4925072{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0081642{col 67}{space 3}  1.93882
{txt}{space 9}31  {c |}{col 14}{res}{space 2}-.5310015{col 26}{space 2} .4361114{col 37}{space 1}   -1.22{col 46}{space 3}0.223{col 54}{space 4}-1.385792{col 67}{space 3}  .323789
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .3162544{col 26}{space 2} .4737785{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.6123648{col 67}{space 3} 1.244874
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .8506127{col 26}{space 2} .5734997{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.2734628{col 67}{space 3} 1.974688
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  .284012{col 26}{space 2} .4503946{col 37}{space 1}    0.63{col 46}{space 3}0.528{col 54}{space 4} -.598774{col 67}{space 3} 1.166798
{txt}{space 9}36  {c |}{col 14}{res}{space 2} 1.493683{col 26}{space 2} .4924514{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .5284647{col 67}{space 3} 2.458902
{txt}{space 9}37  {c |}{col 14}{res}{space 2}  .050411{col 26}{space 2} .4518005{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.8351307{col 67}{space 3} .9359528
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{space 3}prog_type {c |}
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{space 1}level_group {c |}
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo Col4
{txt}
{com}. 
. esttab Col1 Col2 Col3 Col4 using "Table RP.tex", ///
>            replace width(\hsize) nocon b(3) se(3) title(Rent-Price Ratio Singapore 2012) sty(tex) stats(r2_a ymean N, labels(R-squared MeanDepVar N)) ///
>            noconstant star(* 0.10 ** 0.05 *** 0.01) label ///
>            keep(for_rent)
{res}{txt}(note: file Table RP.tex not found)
(output written to {browse  `"Table RP.tex"'})

{com}.            
. cap log close      
{smcl}
{com}{sf}{ul off}